kcap17-tutorial
kcap17-tutorial copied to clipboard
Published
20 hours ago •
argilla-io
argilla-io
Material for tutorial "Hybrid techniques for knowledge-based NLP: Knowledge graphs meet machine learning and all their friends" at KCAP 2017, Austin (Texas)
KCAP 2017 Tutorial: NLP and Knowledge-based methods with spaCy
Material for tutorial @KCAP 2017 "Hybrid techniques for knowledge-based NLP: Knowledge graphs meet machine learning and all their friends"
Pre-requisites
-
This tutorial uses Python 3 and Jupyter Notebooks, which you can install via pip or Anaconda (http://jupyter.readthedocs.io/en/latest/install.html)
-
Install spaCy for your platform using the nice web helper at: https://spacy.io/usage/#section-quickstart
Contents
- Get started with spaCy notebook provides a quick intro to spaCy
- Writing custom components and Entity Linking with spaCy notebook provides an intro to custom components and uses a small library for Entity Linking with spaCy and AGDISTIS (https://github.com/dice-group/AGDISTIS.)
libContains a small library for entity linking with spaCy
Metadata
16
Stars
3
Forks
Watchers
Owner
argilla-io
Metadata
Material for tutorial "Hybrid techniques for knowledge-based NLP: Knowledge graphs meet machine learning and all their friends" at KCAP 2017, Austin (Texas)